Spatial decision supporting for winter wheat irrigation and fertilizer optimizing in North China Plain

文献类型： 外文期刊

第一作者： Yang Xiaodong

作者： Yang Xiaodong;Yang Hao;Dong Yansheng;Yu Haiyang

作者机构：

关键词： Spatial Decision Support System (SDSS);Irrigation and Fertilizer Optimizing;Remote Sensing;Crop Model

期刊名称：INTERNATIONAL SYMPOSIUM ON OPTOELECTRONIC TECHNOLOGY AND APPLICATION 2014: OPTICAL REMOTE SENSING TECHNOLOGY AND APPLICATIONS

ISSN： 0277-786X

年卷期： 2014 年 9299 卷

页码：

收录情况： SCI

摘要： Production management of winter wheat is more complicated than other crops since its growth period is covered all four seasons and growth environment is very complex with frozen injury, drought, insect or disease injury and others. In traditional irrigation and fertilizer management, agricultural technicians or farmers mainly make decision based on phenology, planting experience to carry out artificial fertilizer and irrigation management. For example, wheat needs more nitrogen fertilizer in jointing and booting stage by experience, then when the wheat grow to the two growth periods, the farmer will fertilize to the wheat whether it needs or not. We developed a spatial decision support system for optimizing irrigation and fertilizer measures based on WebGIS, which monitoring winter wheat growth and soil moisture content by combining a crop model, remote sensing data and wireless sensors data, then reasoning professional management schedule from expert knowledge warehouse. This system is developed by ArcIMS, IDL in server-side and JQuery, Google Maps API, ASP. NET in client-side. All computing tasks are run on server-side, such as computing 11 normal vegetable indexes (NDVI/ NDWI/ NDWI2 /NRI/ NSI/ WI/ G_SWIR /G_SWIR2/ SPSI/ TVDI/ VSWI) and custom VI of remote sensing image by IDL; while real-time building map configuration file and generating thematic map by ArcIMS.

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